Several loop patterns found in binary code. حسب Alba Pedro-Zapater (8600382)

Parameters in algorithms. حسب Chao Li (145513)

"…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …"

A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm حسب Anonymous authors (for blind review purpose) (6473313)

"…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …"

Comparison of line planning results. حسب Chao Li (145513)

"…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …"

The comparison of different optimization models. حسب Jiefei Zhang (8787494)

"…The proposed approach consists of three steps: representing an integrated network based on a hyper-network, generating candidate bus-bridging routes using the K-shortest paths algorithm, and solving the optimization model using a genetic algorithm to determine the optimal vehicle allocation among the candidate routes. …"

Sensitivity analysis of the TV-BayesOpt algorithm with a forgetting (orange line) or a forgetting-periodic (blue line) covariance function for a range of ε values. حسب John E. Fleming (8533956)

Greedy optimization algorithm. حسب Alexis Bénichou (19832361)

Overall rankings of optimization algorithms. حسب Máté Mohácsi (20469514)

The normalized acoustic resistance (blue lines) and reactance (red dotted lines) of the optimization case in Fig 7. حسب Xiaogang Li (299205)

Repeated simulation of grid nodes (the red dotted line represents a random path). حسب Jianpeng Yao (11008872)

Dimensions of the calculated model. حسب Dapeng Wang (250459)

"…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …"

Shaded regions depict 95% confidence intervals, and line represents the mean distribution. حسب Diego del Alamo (9925083)

Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX حسب Åsmund Flobak (789984)

Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Predictive ability as a function of training population size selected either 1° randomly or 2) by the CD-mean optimization algorithm of [23]. حسب Gilles Charmet (2079463)

Regression plot showing the relationship between accuracy and F-score, with a fitted trend line and confidence interval. حسب Amal H. Alharbi (21755906)

Learning to Optimize Molecular Geometries Using Reinforcement Learning حسب Kabir Ahuja (10010761)

"…We propose a reinforcement learning approach to develop a model that produces a correction term for the quasi-Newton step calculated with the BFGS algorithm to improve the overall optimization performance. …"

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"